Facilitation of valuation of objects

ABSTRACT

This disclosure describes a solution to assign values to personal objects. These values can be calculated based on a number of criteria and stored for the objects. Future values can also be projected. Types of value can include monetary, sentimental, and donation value. Personal objects, such as objects within the inventory of a house, apartment, or other dwelling, can be tagged using a radio frequency identification (RFID) tag or other tag that has at least a memory store, an antenna for communication within a near-field range, and optionally, a power supply, such as a battery. Such a tag can be applied to, or otherwise associated with, a personal object, such as a chair, a piece of artwork, or any other tangible object. The memory can be used to contain data associated with the object, which can be accessed via an RFID reader, which can be used to collect objects into an object inventory.

TECHNICAL FIELD

This disclosure relates generally to facilitating valuation ofobjections. For example, this disclosure relates to facilitatingvaluation of personal objects utilizing augmented reality.

BACKGROUND

Augmented reality (AR) is an interactive experience of a real-worldenvironment where the objects that reside in the real world are enhancedby computer-generated perceptual information, sometimes across multiplesensory modalities, including visual, auditory, haptic, somatosensoryand olfactory. An augogram is a computer-generated image that is used tocreate AR. Augography is the science and practice of making augogramsfor AR. AR can be defined as a system that fulfills three basicfeatures: a combination of real and virtual worlds, real-timeinteraction, and accurate 3D registration of virtual and real objects.The overlaid sensory information can be constructive (e.g., additive tothe natural environment), or destructive (e.g., masking of the naturalenvironment). This experience is seamlessly interwoven with the physicalworld such that it is perceived as an immersive aspect of the realenvironment. In this way, augmented reality alters one's ongoingperception of a real-world environment, whereas virtual realitycompletely replaces the user's real-world environment with a simulatedone. Augmented reality is related to two largely synonymous terms: mixedreality and computer-mediated reality.

The above-described background relating to facilitation of valuation ofobjects is merely intended to provide a contextual overview of somecurrent issues, and is not intended to be exhaustive. Other contextualinformation may become further apparent upon review of the followingdetailed description.

BRIEF DESCRIPTION OF THE DRAWINGS

Non-limiting and non-exhaustive embodiments of the subject disclosureare described with reference to the following figures, wherein likereference numerals refer to like parts throughout the various viewsunless otherwise specified.

FIG. 1 illustrates an example wireless communication system in which anetwork node device (e.g., network node) and user equipment (UE) canimplement various aspects and embodiments of the subject disclosure.

FIG. 2 illustrates an example schematic system block diagram of a systemfor facilitation of valuation of objects comprising a radio frequencyidentification reader according to one or more embodiments.

FIG. 3 illustrates an example schematic system block diagram of a systemfor facilitation of valuation of objects according to one or moreembodiments.

FIG. 4 illustrates an example schematic system block diagram of a systemfor facilitation of valuation of objects comprising an onlinemarketplace according to one or more embodiments.

FIG. 5 illustrates an example schematic system block diagram of a systemfor facilitation of valuation of objects comprising an augmented realitydevice reader according to one or more embodiments.

FIG. 6 illustrates an example flow diagram for a method for facilitationof valuation of objections according to one or more embodiments.

FIG. 7 illustrates an example flow diagram for a system for facilitationof valuation of objections according to one or more embodiments.

FIG. 8 illustrates an example flow diagram for a machine-readable mediumfor facilitation of valuation of objections according to one or moreembodiments.

FIG. 9 illustrates an example block diagram of an example mobile handsetoperable to engage in a system architecture that facilitates securewireless communication according to one or more embodiments describedherein.

FIG. 10 illustrates an example block diagram of an example computeroperable to engage in a system architecture that facilitates securewireless communication according to one or more embodiments describedherein.

DETAILED DESCRIPTION

In the following description, numerous specific details are set forth toprovide a thorough understanding of various embodiments. One skilled inthe relevant art will recognize, however, that the techniques describedherein can be practiced without one or more of the specific details, orwith other methods, components, materials, etc. In other instances,well-known structures, materials, or operations are not shown ordescribed in detail to avoid obscuring certain aspects.

Reference throughout this specification to “one embodiment,” or “anembodiment,” means that a particular feature, structure, orcharacteristic described in connection with the embodiment is includedin at least one embodiment. Thus, the appearances of the phrase “in oneembodiment,” “in one aspect,” or “in an embodiment,” in various placesthroughout this specification are not necessarily all referring to thesame embodiment. Furthermore, the particular features, structures, orcharacteristics may be combined in any suitable manner in one or moreembodiments.

As utilized herein, terms “component,” “system,” “interface,” and thelike are intended to refer to a computer-related entity, hardware,software (e.g., in execution), and/or firmware. For example, a componentcan be a processor, a process running on a processor, an object, anexecutable, a program, a storage device, and/or a computer. By way ofillustration, an application running on a server and the server can be acomponent. One or more components can reside within a process, and acomponent can be localized on one computer and/or distributed betweentwo or more computers.

Further, these components can execute from various machine-readablemedia having various data structures stored thereon. The components cancommunicate via local and/or remote processes such as in accordance witha signal having one or more data packets (e.g., data from one componentinteracting with another component in a local system, distributedsystem, and/or across a network, e.g., the Internet, a local areanetwork, a wide area network, etc. with other systems via the signal).

As another example, a component can be an apparatus with specificfunctionality provided by mechanical parts operated by electric orelectronic circuitry; the electric or electronic circuitry can beoperated by a software application or a firmware application executed byone or more processors; the one or more processors can be internal orexternal to the apparatus and can execute at least a part of thesoftware or firmware application. As yet another example, a componentcan be an apparatus that provides specific functionality throughelectronic components without mechanical parts; the electroniccomponents can include one or more processors therein to executesoftware and/or firmware that confer(s), at least in part, thefunctionality of the electronic components. In an aspect, a componentcan emulate an electronic component via a virtual machine, e.g., withina cloud computing system.

The words “exemplary” and/or “demonstrative” are used herein to meanserving as an example, instance, or illustration. For the avoidance ofdoubt, the subject matter disclosed herein is not limited by suchexamples. In addition, any aspect or design described herein as“exemplary” and/or “demonstrative” is not necessarily to be construed aspreferred or advantageous over other aspects or designs, nor is it meantto preclude equivalent exemplary structures and techniques known tothose of ordinary skill in the art. Furthermore, to the extent that theterms “includes,” “has,” “contains,” and other similar words are used ineither the detailed description or the claims, such terms are intendedto be inclusive—in a manner similar to the term “comprising” as an opentransition word—without precluding any additional or other elements.

As used herein, the term “infer” or “inference” refers generally to theprocess of reasoning about, or inferring states of, the system,environment, user, and/or intent from a set of observations as capturedvia events and/or data. Captured data and events can include user data,device data, environment data, data from sensors, sensor data,application data, implicit data, explicit data, etc. Inference can beemployed to identify a specific context or action, or can generate aprobability distribution over states of interest based on aconsideration of data and events, for example.

Inference can also refer to techniques employed for composinghigher-level events from a set of events and/or data. Such inferenceresults in the construction of new events or actions from a set ofobserved events and/or stored event data, whether the events arecorrelated in close temporal proximity, and whether the events and datacome from one or several event and data sources. Various classificationschemes and/or systems (e.g., support vector machines, neural networks,expert systems, Bayesian belief networks, fuzzy logic, and data fusionengines) can be employed in connection with performing automatic and/orinferred action in connection with the disclosed subject matter.

In addition, the disclosed subject matter can be implemented as amethod, apparatus, or article of manufacture using standard programmingand/or engineering techniques to produce software, firmware, hardware,or any combination thereof to control a computer to implement thedisclosed subject matter. The term “article of manufacture” as usedherein is intended to encompass a computer program accessible from anycomputer-readable device, machine-readable device, computer-readablecarrier, computer-readable media, or machine-readable media. Forexample, computer-readable media can include, but are not limited to, amagnetic storage device, e.g., hard disk; floppy disk; magneticstrip(s); an optical disk (e.g., compact disk (CD), a digital video disc(DVD), a Blu-ray Disc™ (BD)); a smart card; a flash memory device (e.g.,card, stick, key drive); and/or a virtual device that emulates a storagedevice and/or any of the above computer-readable media.

As an overview, various embodiments are described herein to facilitatevaluation of objects. For simplicity of explanation, the methods (oralgorithms) are depicted and described as a series of acts. It is to beunderstood and appreciated that the various embodiments are not limitedby the acts illustrated and/or by the order of acts. For example, actscan occur in various orders and/or concurrently, and with other acts notpresented or described herein. Furthermore, not all illustrated acts maybe required to implement the methods. In addition, the methods couldalternatively be represented as a series of interrelated states via astate diagram or events. Additionally, the methods described hereafterare capable of being stored on an article of manufacture (e.g., amachine-readable storage medium) to facilitate transporting andtransferring such methodologies to computers. The term article ofmanufacture, as used herein, is intended to encompass a computer programaccessible from any computer-readable device, carrier, or media,including a non-transitory machine-readable storage medium.

It should be noted that although various aspects and embodiments havebeen described herein in the context of 5G, Universal MobileTelecommunications System (UMTS), and/or Long Term Evolution (LTE), orother next generation networks, the disclosed aspects are not limited to5G, a UMTS implementation, and/or an LTE implementation as thetechniques can also be applied in 3G, 4G or LTE systems. For example,aspects or features of the disclosed embodiments can be exploited insubstantially any wireless communication technology. Such wirelesscommunication technologies can include UMTS, Code Division MultipleAccess (CDMA), Wi-Fi, Worldwide Interoperability for Microwave Access(WiMAX), General Packet Radio Service (GPRS), Enhanced GPRS, ThirdGeneration Partnership Project (3GPP), LTE, Third Generation PartnershipProject 2 (3GPP2) Ultra Mobile Broadband (UMB), High Speed Packet Access(HSPA), Evolved High Speed Packet Access (HSPA+), High-Speed DownlinkPacket Access (HSDPA), High-Speed Uplink Packet Access (HSUPA), Zigbee,or another IEEE 802.12 technology. Additionally, substantially allaspects disclosed herein can be exploited in legacy telecommunicationtechnologies.

Described herein are systems, methods, articles of manufacture, andother embodiments or implementations that can facilitate valuation ofobjects. Facilitating valuation of objects can be implemented inconnection with any type of device with a connection to thecommunications network (e.g., a mobile handset, a computer, a handhelddevice, etc.) any Internet of things (TOT) device (e.g., toaster, coffeemaker, blinds, music players, speakers, etc.), and/or any connectedvehicles (cars, airplanes, space rockets, and/or other at leastpartially automated vehicles (e.g., drones)). In some embodiments thenon-limiting term user equipment (UE) is used. It can refer to any typeof wireless device that communicates with a radio network node in acellular or mobile communication system. Examples of UE are targetdevice, device to device (D2D) UE, machine type UE or UE capable ofmachine to machine (M2M) communication, PDA, Tablet, mobile terminals,smart phone, laptop embedded equipped (LEE), laptop mounted equipment(LME), USB dongles etc. Note that the terms element, elements andantenna ports can be interchangeably used but carry the same meaning inthis disclosure. The embodiments are applicable to single carrier aswell as to multicarrier (MC) or carrier aggregation (CA) operation ofthe UE. The term carrier aggregation (CA) is also called (e.g.interchangeably called) “multi-carrier system”, “multi-cell operation”,“multi-carrier operation”, “multi-carrier” transmission and/orreception.

In some embodiments the non-limiting term radio network node or simplynetwork node is used. It can refer to any type of network node thatserves UE is connected to other network nodes or network elements or anyradio node from where UE receives a signal. Examples of radio networknodes are Node B, base station (BS), multi-standard radio (MSR) nodesuch as MSR BS, eNode B, network controller, radio network controller(RNC), base station controller (BSC), relay, donor node controllingrelay, base transceiver station (BTS), access point (AP), transmissionpoints, transmission nodes, RRU, RRH, nodes in distributed antennasystem (DAS) etc.

Cloud radio access networks (RAN) can enable the implementation ofconcepts such as software-defined network (SDN) and network functionvirtualization (NFV) in 5G networks. Certain embodiments of thisdisclosure can comprise an SDN controller that can control routing oftraffic within the network and between the network and trafficdestinations. The SDN controller can be merged with the 5G networkarchitecture to enable service deliveries via open applicationprogramming interfaces (“APIs”) and move the network core towards an allinternet protocol (“IP”), cloud based, and software driventelecommunications network. The SDN controller can work with, or takethe place of policy and charging rules function (“PCRF”) networkelements so that policies such as quality of service and trafficmanagement and routing can be synchronized and managed end to end.

This disclosure describes a solution to assign values to personalobjects. These values can be calculated based on a number of criteriaand stored for the objects. Future values can also be projected. Typesof value can include monetary, sentimental, and donation value. Personalobjects, such as objects within the inventory of a house, apartment, orother dwelling, can be tagged using a radio frequency identification(RFID) tag or other tag that has at least a memory store, an antenna forcommunication within a near-field range, and optionally, a power supply,such as a battery. Such a tag can be applied to, or otherwise associatedwith, a personal object, such as a chair, a piece of artwork, or anyother tangible object. The memory can be used to contain data associatedwith the object, which can be accessed via an RFID reader. The RFIDreader can be used to collect objects into an object inventory.

Alternatively, the object can have RFID or other communicationcapabilities within the object itself. For instance, a coffee maker cancontain these capabilities without requiring a separate RFID tag. Thememory can contain data such as described below. This data can be storedin the object inventory, in which case the RFID tag can be used to indexthe object in the object inventory and the data associated with theobject. The object ID can be an ID that uniquely identifies object. Itcan be comprised of identifiers that define what the object is, such asmodel number, but also a unique identifier such as a serial number. Forobjects that don't typically have such identifiers, a unique ID can beassigned. An object name can be an easily-identifiable typical name,such as “coffee maker”, “Aunt Rose's chair”, or “Banksy print”.

An owner ID can be an identifier that uniquely identifies an owner ofthe object. This can be, for instance, a phone number, email address,etc. These data elements can be entered in the object inventory, forexample, via a web interface or an interactive speech-based virtualassistant. A purchase price and purchase date can be entered in theobject inventory. This can be accomplished at the time of purchase. Forinstance, when a purchase transaction is made, the new owner of theobject can be prompted to add purchase data for the object. This can bevia a question posed to the buyer at checkout (whether an online orin-person purchase), much like “would you like a printed receipt?”, thebuyer can be asked: “would you like to add to your object inventory?” Inthis case, the purchase price, purchase date, purchase location, andother purchase data can be recorded in the object inventory. To do so,the owner ID (which in this case can be a credit card number) can beused to index the object inventory. In alternative embodiments, theobject can be acquired by other means than a purchase. For instance, theobject can be acquired via gift, bequest/inheritance, etc. Within theaforementioned scenarios, the RFID tag of the object can be providedwith such acquisition information such that the RFID reader can receivethe acquisition information at a later date.

If the object was purchased by the owner, other data can be collectedthat describe circumstances of the purchase event. For instance, theowner can have an app on a mobile device that they have with them whenthe purchase is made. This app can detect other users' devices in anearby vicinity using a near-field communication such as Bluetooth.These other users can have similar apps and have allowed the owner tosense their nearby presence. In this case, for example, a daughter'sdevice can detect her mother's device being nearby when the daughterpurchased the coffee maker. Therefore, the mother can be recorded asbeing a party who was present when the object was obtained. When anobject is assigned to an owner, it can become useful for the owner's IDto be recorded on the object's tag. In this case, the tag's memory canbe writeable as well as readable and the new owner's ID can be recordedas the result of an electronic purchase. The tag can be enabled to haveaccess to a network such as the internet via networking capabilitiessuch as Wi-Fi. The owner can use a web or virtual assistant interface toenter this prior owner data. For instance, the owner can login to awebsite and enter “Aunt Rose” in the prior owners field for the dataassociated with the chair.

Prior owners of an object can also be obtained via a separate databasethat tracks ownership via a technology solution such as blockchain. Thelist of prior owners of the object can be stored in the objectinventory. The owner can use the web or virtual assistant (such as aspeech-based assistant) to add data describing the condition of theproduct. It can be useful to have a record of the location history foran object. The location history can be generated by includinglocation-aware capabilities to the object tags. For example, the tag onthe chair can periodically send its location (along with its object IDand a time/date stamp) to the object inventory. Over time, a locationhistory for the object can be developed. This location can be mapped inthe object inventory to a location such as “Aunt Rose's house”. Or, forinstance, if the chair was later inherited by a current owner, it can bemapped to a more specific location such as “dining room” if the locationcoordinates are mapped using coordinates of a house floorplan.

It can also be useful for there to be a recorded history of how much theobject has “seen the light of day” (that is, how much has the objectbeen exposed to light). This exposure can serve as a proxy for how muchthe object has been in practical use versus how much it has been, forinstance, in a box in a closet. In this case, the object tag can beequipped with a light sensor that can determine the ambient light levelaround the tag at any given time. The tag can periodically send thelight level (along with its object ID and a time/date stamp) to theobject inventory. Over time, a light level history for the object isdeveloped.

A monetary value can be assigned to an object in the object inventory.This value can also be stored in the object inventory. The monetaryvalue can be calculated by a valuation and sorting server. The monetaryvalue can be calculated by using the purchase price and purchase dateand applying an appreciation or depreciation factor. Alternatively, aseparate reference valuation can be used, such as an online marketplacethat is selling the item, and comparing new/used condition of the objectwith the online marketplace. For instance, the valuation server can usethe object ID and condition to query an online marketplace to search forother similar items in similar condition. More than one marketplace canbe queried. The prices from the resulting matches can be averaged andthis result can be used to calculate and record a monetary value for theobject.

A sentimental value can also be calculated by the valuation server andstored in the object inventory. Data in the object inventory can be usedto calculate a valuation level to serve as a proxy for a sentimentalvalue. Data such as location, when obtained, parties present whenobtained, prior owners, location history, and “light of day” history cancontribute to the calculation of a sentimental value. For instance, thechair can be obtained by an owner at a location that can be mapped to anaddress, which can be assigned a high sentimental value (e.g., a belovedaunt's house). The date the object was obtained can be compared againstthe owner's calendar, which can be accessible by the valuation serverand can be determined to be within a window of time around a significantevent on the calendar—perhaps in this case within 6 months of AuntRose's funeral. Prior owners and parties present when the object wasobtained can be mapped to highly significant people in the owner's life.Therefore, the chair can be assigned a high sentimental value.Similarly, a sentimental value can also be calculated by the valuationserver and stored in the object inventory using other data. Forinstance, artwork purchased in 2010 at a location can be mapped to anart depot store, and from then until 2019 sat in a dark basement. Thelocation history and “light of day” history for the object can then beused to reflect a low sentimental value.

The monetary and sentimental values can be presented to the owner via anaugmented reality interface to facilitate a determination of the valueand meaningfulness of an object. An AR viewer can be equipped with RFIDreader capabilities and can read an RFID tag. The AR viewer can use theobject ID from the tag to query the object inventory, which can containthe calculated values, including rationale, for the object.

It should also be noted that an artificial intelligence (AI) componentcan facilitate automating one or more features in accordance with thedisclosed aspects. A memory and a processor as well as other componentscan include functionality with regard to the figures. The disclosedaspects in connection with valuation of objects can employ variousAI-based schemes for carrying out various aspects thereof. For example,a process for detecting one or more trigger events, generating an objectvalue as a result of the one or more trigger events, and modifying oneor more reported measurements, and so forth, can be facilitated with anexample automatic classifier system and process. In another example, aprocess for penalizing one object value while preferring another objectvalue can be facilitated with the example automatic classifier systemand process.

An example classifier can be a function that maps an input attributevector, x=(x1, x2, x3, x4, xn), to a confidence that the input belongsto a class, that is, f(x)=confidence(class). Such classification canemploy a probabilistic and/or statistical-based analysis (e.g.,factoring into the analysis utilities and costs) to prognose or infer anaction that can be automatically performed.

A support vector machine (SVM) is an example of a classifier that can beemployed. The SVM can operate by finding a hypersurface in the space ofpossible inputs, which the hypersurface attempts to split the triggeringcriteria from the non-triggering events. Intuitively, this makes theclassification correct for testing data that is near, but not identicalto training data. Other directed and undirected model classificationapproaches include, for example, naïve Bayes, Bayesian networks,decision trees, neural networks, fuzzy logic models, and probabilisticclassification models providing different patterns of independence canbe employed. Classification as used herein also may be inclusive ofstatistical regression that is utilized to develop models of priority.

The disclosed aspects can employ classifiers that are explicitly trained(e.g., via a generic training data) as well as implicitly trained (e.g.,via observing mobile device usage as it relates to triggering events,observing network frequency/technology, receiving extrinsic information,and so on). For example, SVMs can be configured via a learning ortraining phase within a classifier constructor and feature selectionmodule. Thus, the classifier(s) can be used to automatically learn andperform a number of functions, including but not limited to modifying anobject's value to be output, modifying one or more objects spatialmeasurements, and so forth. The criteria can include, but is not limitedto, predefined values, frequency attenuation tables or other parameters,service provider preferences and/or policies, and so on.

In one embodiment, described herein is a method comprising receiving, bya server device comprising a processor, a first signal from a wirelessnetwork, the first signal associated with object identification datarepresentative of an identification of an object. The method cancomprise receiving, by the server device, a second signal from awireless network, the second signal associated with owner identificationdata representative of an owner of the object. The method can comprisereceiving, by the server device, a third signal from a wireless network,the third signal associated with acquisition data representative of anacquisition of the object by the owner of the object. Additionally, inresponse to receiving the acquisition data, the method can comprisegenerating, by the server device, a monetary value data representativeof a monetary value associated with the object. Furthermore, in responseto generating the monetary value data, the method can comprise sending,by the server device via a wireless network, a fourth signal, associatedwith the monetary value data, to an identification tag device of theobject.

According to another embodiment, a system can facilitate receivingobject identification data representative of an identification of anobject, owner identification data representative of an owner of theobject, and purchase data representative of a purchase of the object bythe owner of the object. Based on the purchase data, the system cancomprise generating a monetary value data representative of a monetaryvalue to be assigned to the object. In response to the generating themonetary value data, the system can comprise sending the monetary valuedata to a wireless network device associated with the object.

According to yet another embodiment, described herein is amachine-readable medium that can perform the operations comprisingreceiving object identification data representative of an identificationof an object. The machine-readable medium can perform operationscomprising receiving owner identification data representative of anowner of the object. The machine-readable medium can perform operationscomprising receiving purchase data representative of a purchase historyof the object. Based on the purchase data, the machine-readable mediumcan perform operations comprising facilitating generating value datarepresentative of a value to be assigned to the object. In response tothe facilitating the generating of the value data, the machine-readablemedium can perform operations comprising facilitating sending the valuedata to a wireless network device associated with the object.

These and other embodiments or implementations are described in moredetail below with reference to the drawings.

Referring now to FIG. 1 , illustrated is an example wirelesscommunication system 100 in accordance with various aspects andembodiments of the subject disclosure. In one or more embodiments,system 100 can comprise one or more user equipment UEs 102. Thenon-limiting term user equipment can refer to any type of device thatcan communicate with a network node in a cellular or mobilecommunication system. A UE can have one or more antenna panels havingvertical and horizontal elements. Examples of a UE comprise a targetdevice, device to device (D2D) UE, machine type UE or UE capable ofmachine to machine (M2M) communications, personal digital assistant(PDA), tablet, mobile terminals, smart phone, laptop mounted equipment(LME), universal serial bus (USB) dongles enabled for mobilecommunications, a computer having mobile capabilities, a mobile devicesuch as cellular phone, a laptop having laptop embedded equipment (LEE,such as a mobile broadband adapter), a tablet computer having a mobilebroadband adapter, a wearable device, a virtual reality (VR) device, aheads-up display (HUD) device, a smart car, a machine-type communication(MTC) device, and the like. User equipment UE 102 can also comprise IOTdevices that communicate wirelessly.

In various embodiments, system 100 is or comprises a wirelesscommunication network serviced by one or more wireless communicationnetwork providers. In example embodiments, a UE 102 can becommunicatively coupled to the wireless communication network via anetwork node 104. The network node (e.g., network node device) cancommunicate with user equipment (UE), thus providing connectivitybetween the UE and the wider cellular network. The UE 102 can sendtransmission type recommendation data to the network node 104. Thetransmission type recommendation data can comprise a recommendation totransmit data via a closed loop MIMO mode and/or a rank-1 precoder mode.

A network node can have a cabinet and other protected enclosures, anantenna mast, and multiple antennas for performing various transmissionoperations (e.g., MIMO operations). Network nodes can serve severalcells, also called sectors, depending on the configuration and type ofantenna. In example embodiments, the UE 102 can send and/or receivecommunication data via a wireless link to the network node 104. Thedashed arrow lines from the network node 104 to the UE 102 representdownlink (DL) communications and the solid arrow lines from the UE 102to the network nodes 104 represents an uplink (UL) communication.

System 100 can further include one or more communication serviceprovider networks 106 that facilitate providing wireless communicationservices to various UEs, including UE 102, via the network node 104and/or various additional network devices (not shown) included in theone or more communication service provider networks 106. The one or morecommunication service provider networks 106 can include various types ofdisparate networks, including but not limited to: cellular networks,femto networks, picocell networks, microcell networks, internet protocol(IP) networks Wi-Fi service networks, broadband service network,enterprise networks, cloud based networks, and the like. For example, inat least one implementation, system 100 can be or include a large scalewireless communication network that spans various geographic areas.According to this implementation, the one or more communication serviceprovider networks 106 can be or include the wireless communicationnetwork and/or various additional devices and components of the wirelesscommunication network (e.g., additional network devices and cell,additional UEs, network server devices, etc.). The network node 104 canbe connected to the one or more communication service provider networks106 via one or more backhaul links 108. For example, the one or morebackhaul links 108 can comprise wired link components, such as a T1/E1phone line, a digital subscriber line (DSL) (e.g., either synchronous orasynchronous), an asymmetric DSL (ADSL), an optical fiber backbone, acoaxial cable, and the like. The one or more backhaul links 108 can alsoinclude wireless link components, such as but not limited to,line-of-sight (LOS) or non-LOS links which can include terrestrialair-interfaces or deep space links (e.g., satellite communication linksfor navigation).

Wireless communication system 100 can employ various cellular systems,technologies, and modulation modes to facilitate wireless radiocommunications between devices (e.g., the UE 102 and the network node104). While example embodiments might be described for 5G new radio (NR)systems, the embodiments can be applicable to any radio accesstechnology (RAT) or multi-RAT system where the UE operates usingmultiple carriers e.g. LTE FDD/TDD, GSM/GERAN, CDMA2000 etc.

For example, system 100 can operate in accordance with global system formobile communications (GSM), universal mobile telecommunications service(UMTS), long term evolution (LTE), LTE frequency division duplexing (LTEFDD, LTE time division duplexing (TDD), high speed packet access (HSPA),code division multiple access (CDMA), wideband CDMA (WCMDA), CDMA2000,time division multiple access (TDMA), frequency division multiple access(FDMA), multi-carrier code division multiple access (MC-CDMA),single-carrier code division multiple access (SC-CDMA), single-carrierFDMA (SC-FDMA), orthogonal frequency division multiplexing (OFDM),discrete Fourier transform spread OFDM (DFT-spread OFDM) single carrierFDMA (SC-FDMA), Filter bank based multi-carrier (FBMC), zero tailDFT-spread-OFDM (ZT DFT-s-OFDM), generalized frequency divisionmultiplexing (GFDM), fixed mobile convergence (FMC), universal fixedmobile convergence (UFMC), unique word OFDM (UW-OFDM), unique wordDFT-spread OFDM (UW DFT-Spread-OFDM), cyclic prefix OFDM CP-OFDM,resource-block-filtered OFDM, Wi Fi, WLAN, WiMax, and the like. However,various features and functionalities of system 100 are particularlydescribed wherein the devices (e.g., the UEs 102 and the network device104) of system 100 are configured to communicate wireless signals usingone or more multi carrier modulation schemes, wherein data symbols canbe transmitted simultaneously over multiple frequency subcarriers (e.g.,OFDM, CP-OFDM, DFT-spread OFMD, UFMC, FMBC, etc.). The embodiments areapplicable to single carrier as well as to multicarrier (MC) or carrieraggregation (CA) operation of the UE. The term carrier aggregation (CA)is also called (e.g. interchangeably called) “multi-carrier system”,“multi-cell operation”, “multi-carrier operation”, “multi-carrier”transmission and/or reception. Note that some embodiments are alsoapplicable for Multi RAB (radio bearers) on some carriers (that is dataplus speech is simultaneously scheduled).

In various embodiments, system 100 can be configured to provide andemploy 5G wireless networking features and functionalities. 5G wirelesscommunication networks are expected to fulfill the demand ofexponentially increasing data traffic and to allow people and machinesto enjoy gigabit data rates with virtually zero latency. Compared to 4G,5G supports more diverse traffic scenarios. For example, in addition tothe various types of data communication between conventional UEs (e.g.,phones, smartphones, tablets, PCs, televisions, Internet enabledtelevisions, etc.) supported by 4G networks, 5G networks can be employedto support data communication between smart cars in association withdriverless car environments, as well as machine type communications(MTCs). Considering the drastic different communication needs of thesedifferent traffic scenarios, the ability to dynamically configurewaveform parameters based on traffic scenarios while retaining thebenefits of multi carrier modulation schemes (e.g., OFDM and relatedschemes) can provide a significant contribution to the highspeed/capacity and low latency demands of 5G networks. With waveformsthat split the bandwidth into several sub-bands, different types ofservices can be accommodated in different sub-bands with the mostsuitable waveform and numerology, leading to an improved spectrumutilization for 5G networks.

To meet the demand for data centric applications, features of proposed5G networks may comprise: increased peak bit rate (e.g., 20 Gbps),larger data volume per unit area (e.g., high system spectralefficiency—for example about 3.5 times that of spectral efficiency oflong term evolution (LTE) systems), high capacity that allows moredevice connectivity both concurrently and instantaneously, lowerbattery/power consumption (which reduces energy and consumption costs),better connectivity regardless of the geographic region in which a useris located, a larger numbers of devices, lower infrastructuraldevelopment costs, and higher reliability of the communications. Thus,5G networks may allow for: data rates of several tens of megabits persecond should be supported for tens of thousands of users, 1 gigabit persecond to be offered simultaneously to tens of workers on the sameoffice floor, for example; several hundreds of thousands of simultaneousconnections to be supported for massive sensor deployments; improvedcoverage, enhanced signaling efficiency; reduced latency compared toLTE.

The upcoming 5G access network may utilize higher frequencies (e.g., >6GHz) to aid in increasing capacity. Currently, much of the millimeterwave (mmWave) spectrum, the band of spectrum between 30 gigahertz (Ghz)and 300 Ghz is underutilized. The millimeter waves have shorterwavelengths that range from 10 millimeters to 1 millimeter, and thesemmWave signals experience severe path loss, penetration loss, andfading. However, the shorter wavelength at mmWave frequencies alsoallows more antennas to be packed in the same physical dimension, whichallows for large-scale spatial multiplexing and highly directionalbeamforming.

Performance can be improved if both the transmitter and the receiver areequipped with multiple antennas. Multi-antenna techniques cansignificantly increase the data rates and reliability of a wirelesscommunication system. The use of multiple input multiple output (MIMO)techniques, which was introduced in the third-generation partnershipproject (3GPP) and has been in use (including with LTE), is amulti-antenna technique that can improve the spectral efficiency oftransmissions, thereby significantly boosting the overall data carryingcapacity of wireless systems. The use of multiple-input multiple-output(MIMO) techniques can improve mmWave communications, and has been widelyrecognized a potentially important component for access networksoperating in higher frequencies. MIMO can be used for achievingdiversity gain, spatial multiplexing gain and beamforming gain. Forthese reasons, MIMO systems are an important part of the 3rd and 4thgeneration wireless systems, and are planned for use in 5G systems.

Referring now to FIG. 2 , illustrated is an example schematic systemblock diagram of a system 200 for facilitation of valuation of objectscomprising a radio frequency identification (RFID) reader according toone or more embodiments. Objects 202A, 202B, 202C can have RFID tags orother communication capabilities within the object itself. For instance,a coffee maker (e.g., object 202A) can contain these capabilitieswithout requiring a separate RFID tag. The memory can contain data suchas described below. This data can be stored in an object 202A inventoryrepository 210, in which case the RFID tag can be used to index theobject 202A in the object inventory and the data associated with theobject 202A. The object ID can be an ID that uniquely identifies object.Thus, this data can be scanned by an RFID reader 204 and sent to acloud-based network 206 for valuation and sorting at a valuation andsorting server 208. Once evaluated and sorted, the data can be send fromthe valuation and sorting server 208 to the object inventory repository210.

Referring now to FIG. 3 , illustrated is an example schematic systemblock diagram of a system 300 for facilitation of valuation of objectsaccording to one or more embodiments.

When an object is assigned to an owner, it can become useful for theowner's ID to be recorded on the object's tag. In this case, the tag'smemory can be writeable as well as readable and the new owner's ID canbe recorded as the result of an electronic purchase. The tag can beenabled to have access to the cloud-based network 206 via the internetand/or via networking capabilities such as Wi-Fi. The owner can use aweb or virtual assistant interface of the UE 102 to enter this priorowner data. For instance, the owner can login to a website and enter“Aunt Rose” in the prior owner's field for the data associated with thechair (e.g., object 202B).

Prior owners of an object 202A, 202B, 202C can also be obtained via aseparate database that tracks ownership via a technology solution suchas blockchain. The list of prior owners of the object can be stored inthe object inventory repository 210. The owner can use the web orvirtual assistant (such as a speech-based assistant) to add datadescribing the condition of the product. It can be useful to have arecord of the location history for an object. The location history canbe generated by including location-aware capabilities to the objecttags. For example, the tag on the chair (e.g., object 202B) canperiodically send its location (along with its object ID and a time/datestamp) to the object inventory repository 210. Over time, a locationhistory for the chair (e.g., object 202B) can be developed. Thislocation can be mapped in the object inventory to a location such as“Aunt Rose's house”. Or, for instance, if the chair was later inheritedby a current owner, it can be mapped to a more specific location such as“dining room” if the location coordinates are mapped using coordinatesof a house floorplan.

Referring now to FIG. 4 , illustrated is an example schematic systemblock diagram of a system 400 for facilitation of valuation of objectscomprising an online marketplace according to one or more embodiments.

A monetary value can be assigned to object 202A, 202B, 202C in theobject inventory repository 210. This value can also be stored in theobject inventory. The monetary value can be calculated by the valuationand sorting server 208. The monetary value can be calculated by usingthe purchase price and purchase date and applying an appreciation ordepreciation factor. Alternatively, a separate reference valuation canbe used, such as an online marketplace 402 that is selling the item, andcomparing new/used conditions of objects 202A, 202B, 202C with theonline marketplace 404. For instance, the valuation and sorting server208 can use the object ID and condition to query the online marketplace404 to search for other similar items in similar condition. More thanone marketplace can be queried by the UE 102 or the valuation andsorting server 208. The prices from the resulting matches can beaveraged and this result can be used to calculate and record a monetaryvalue for the object, which can then be stored in the object inventoryrepository 210.

A sentimental value can also be calculated by the valuation and sortingserver 208 and stored in the object inventory repository 210. Data inthe object inventory can be used to calculate a valuation level to serveas a proxy for a sentimental value. Data such as location, whenobtained, parties present when obtained, prior owners, location history,and “light of day” history can contribute to the calculation of asentimental value. For instance, the chair can be obtained by an ownerat a location that can be mapped to an address, which can be assigned ahigh sentimental value (e.g., a beloved aunt's house). The date theobject was obtained can be compared (by the valuation and sorting server208) against the owner's calendar, which can be accessible by thevaluation and sorting server 208 and can be determined to be within awindow of time around a significant event on the calendar. Therefore,the chair can be assigned a high sentimental value. Similarly, asentimental value can also be calculated by the valuation and sortingserver 208 and stored in the object inventory repository 210 using otherdata.

Referring now to FIG. 5 illustrates an example schematic system blockdiagram of a system 500 for facilitation of valuation of objectscomprising an augmented reality device reader according to one or moreembodiments.

The monetary and sentimental values can be presented to the owner orother person via an augmented reality (AR) interface to facilitate adetermination of the value and meaningfulness of an object. For example,an AR viewer device 502 can be equipped with RFID reader capabilitiesand can read an RFID tag. The AR viewer device 502 can use the object IDfrom the tag to query the object inventory repository 210, which cancontain the calculated values, including rationale, for the object. Thisinformation can then be sent to the AR/VR server 504 to facilitate theinformation be displayed via the AR viewer device 502 in relation to theobject 202B that is being viewed.

Referring now to FIG. 6 , illustrated is an example flow diagram for amethod for facilitation of valuation of objections according to one ormore embodiments. At element 600, the method can comprise receiving, bya server device comprising a processor, a first signal from a wirelessnetwork, the first signal associated with object identification datarepresentative of an identification of an object. At element 602, themethod can comprise receiving, by the server device, a second signalfrom a wireless network, the second signal associated with owneridentification data representative of an owner of the object. At element604, the method can comprise receiving, by the server device, a thirdsignal from a wireless network, the third signal associated withacquisition data representative of an acquisition of the object by theowner of the object. Additionally, at element 606, in response toreceiving the acquisition data, the method can comprise generating, bythe server device, a monetary value data representative of a monetaryvalue associated with the object. Furthermore, at element 608, inresponse to generating the monetary value data, the method can comprisesending, by the server device via a wireless network, a fourth signal,associated with the monetary value data, to an identification tag deviceof the object.

Referring now to FIG. 7 , illustrated is an example flow diagram for asystem for facilitation of valuation of objections according to one ormore embodiments. At element 700, the system can facilitate receivingobject identification data representative of an identification of anobject, owner identification data representative of an owner of theobject, and purchase data representative of a purchase of the object bythe owner of the object. Based on the purchase data, at element 702, thesystem can comprise generating a monetary value data representative of amonetary value to be assigned to the object. In response to thegenerating the monetary value data, at element 704, the system cancomprise sending the monetary value data to a wireless network deviceassociated with the object.

Referring now to FIG. 8 , illustrated is an example flow diagram for amachine-readable medium for facilitation of valuation of objectionsaccording to one or more embodiments. At element 800, themachine-readable medium can perform the operations comprising receivingobject identification data representative of an identification of anobject. At element 802, the machine-readable medium can performoperations comprising receiving owner identification data representativeof an owner of the object. At element 804, the machine-readable mediumcan perform operations comprising receiving purchase data representativeof a purchase history of the object. Based on the purchase data, atelement 806, the machine-readable medium can perform operationscomprising facilitating generating value data representative of a valueto be assigned to the object. In response to the facilitating thegenerating of the value data, at element 808, the machine-readablemedium can perform operations comprising facilitating sending the valuedata to a wireless network device associated with the object.

Referring now to FIG. 9 , illustrated is a schematic block diagram of anexemplary end-user device such as a mobile device capable of connectingto a network in accordance with some embodiments described herein.Although a mobile handset 900 is illustrated herein, it will beunderstood that other devices can be a mobile device, and that themobile handset 900 is merely illustrated to provide context for theembodiments of the various embodiments described herein. The followingdiscussion is intended to provide a brief, general description of anexample of a suitable environment 900 in which the various embodimentscan be implemented. While the description includes a general context ofcomputer-executable instructions embodied on a machine-readable storagemedium, those skilled in the art will recognize that the innovation alsocan be implemented in combination with other program modules and/or as acombination of hardware and software.

Generally, applications (e.g., program modules) can include routines,programs, components, data structures, etc., that perform particulartasks or implement particular abstract data types. Moreover, thoseskilled in the art will appreciate that the methods described herein canbe practiced with other system configurations, includingsingle-processor or multiprocessor systems, minicomputers, mainframecomputers, as well as personal computers, hand-held computing devices,microprocessor-based or programmable consumer electronics, and the like,each of which can be operatively coupled to one or more associateddevices.

A computing device can typically include a variety of machine-readablemedia. Machine-readable media can be any available media that can beaccessed by the computer and includes both volatile and non-volatilemedia, removable and non-removable media. By way of example and notlimitation, computer-readable media can comprise computer storage mediaand communication media. Computer storage media can include volatileand/or non-volatile media, removable and/or non-removable mediaimplemented in any method or technology for storage of information, suchas computer-readable instructions, data structures, program modules orother data. Computer storage media can include, but is not limited to,RAM, ROM, EEPROM, flash memory or other memory technology, CD ROM,digital video disk (DVD) or other optical disk storage, magneticcassettes, magnetic tape, magnetic disk storage or other magneticstorage devices, or any other medium which can be used to store thedesired information and which can be accessed by the computer.

Communication media typically embodies computer-readable instructions,data structures, program modules or other data in a modulated datasignal such as a carrier wave or other transport mechanism, and includesany information delivery media. The term “modulated data signal” means asignal that has one or more of its characteristics set or changed insuch a manner as to encode information in the signal. By way of example,and not limitation, communication media includes wired media such as awired network or direct-wired connection, and wireless media such asacoustic, RF, infrared and other wireless media. Combinations of the anyof the above should also be included within the scope ofcomputer-readable media.

The handset 900 includes a processor 902 for controlling and processingall onboard operations and functions. A memory 904 interfaces to theprocessor 902 for storage of data and one or more applications 906(e.g., a video player software, user feedback component software, etc.).Other applications can include voice recognition of predetermined voicecommands that facilitate initiation of the user feedback signals. Theapplications 906 can be stored in the memory 904 and/or in a firmware908, and executed by the processor 902 from either or both the memory904 or/and the firmware 908. The firmware 908 can also store startupcode for execution in initializing the handset 900. A communicationscomponent 910 interfaces to the processor 902 to facilitatewired/wireless communication with external systems, e.g., cellularnetworks, VoIP networks, and so on. Here, the communications component910 can also include a suitable cellular transceiver 911 (e.g., a GSMtransceiver) and/or an unlicensed transceiver 913 (e.g., Wi-Fi, WiMax)for corresponding signal communications. The handset 900 can be a devicesuch as a cellular telephone, a PDA with mobile communicationscapabilities, and messaging-centric devices. The communicationscomponent 910 also facilitates communications reception from terrestrialradio networks (e.g., broadcast), digital satellite radio networks, andInternet-based radio services networks.

The handset 900 includes a display 912 for displaying text, images,video, telephony functions (e.g., a Caller ID function), setupfunctions, and for user input. For example, the display 912 can also bereferred to as a “screen” that can accommodate the presentation ofmultimedia content (e.g., music metadata, messages, wallpaper, graphics,etc.). The display 912 can also display videos and can facilitate thegeneration, editing and sharing of video quotes. A serial I/O interface914 is provided in communication with the processor 902 to facilitatewired and/or wireless serial communications (e.g., USB, and/or IEEE1394) through a hardwire connection, and other serial input devices(e.g., a keyboard, keypad, and mouse). This supports updating andtroubleshooting the handset 900, for example. Audio capabilities areprovided with an audio I/O component 916, which can include a speakerfor the output of audio signals related to, for example, indication thatthe user pressed the proper key or key combination to initiate the userfeedback signal. The audio I/O component 916 also facilitates the inputof audio signals through a microphone to record data and/or telephonyvoice data, and for inputting voice signals for telephone conversations.It should be noted that the microphone can be a digital or a non-digitalmicrophone. For example, if the microphone is digital, it can produceaudio data, however, the microphone can be non-digital and produce anaudio signal that can be digitized by an analog-to-digital converter toproduce the outputs for facilitation of the scenarios outlined in thisdisclosure.

The handset 900 can include a slot interface 918 for accommodating a SIC(Subscriber Identity Component) in the form factor of a card SubscriberIdentity Module (SIM) or universal SIM 920, and interfacing the SIM card920 with the processor 902. However, it is to be appreciated that theSIM card 920 can be manufactured into the handset 900, and updated bydownloading data and software.

The handset 900 can process IP data traffic through the communicationcomponent 910 to accommodate IP traffic from an IP network such as, forexample, the Internet, a corporate intranet, a home network, a personarea network, etc., through an ISP or broadband cable provider. Thus,VoIP traffic can be utilized by the handset 900 and IP-based multimediacontent can be received in either an encoded or decoded format.

A video processing component 922 (e.g., a camera) can be provided fordecoding encoded multimedia content. The video processing component 922can aid in facilitating the generation, editing and sharing of videoquotes. The handset 900 also includes a power source 924 in the form ofbatteries and/or an AC power subsystem, which power source 924 caninterface to an external power system or charging equipment (not shown)by a power I/O component 926.

The handset 900 can also include a video component 930 for processingvideo content received and, for recording and transmitting videocontent. For example, the video component 930 can facilitate thegeneration, editing and sharing of video quotes. A location trackingcomponent 932 facilitates geographically locating the handset 900. Asdescribed hereinabove, this can occur when the user initiates thefeedback signal automatically or manually. A user input component 934facilitates the user initiating the quality feedback signal. The userinput component 934 can also facilitate the generation, editing andsharing of video quotes. The user input component 934 can include suchconventional input device technologies such as a keypad, keyboard,mouse, stylus pen, and/or touch screen, for example.

Referring again to the applications 906, a hysteresis component 936facilitates the analysis and processing of hysteresis data, which isutilized to determine when to associate with the access point. Asoftware trigger component 938 can be provided that facilitatestriggering of the hysteresis component 938 when the Wi-Fi transceiver913 detects the beacon of the access point. A SIP client 940 enables thehandset 900 to support SIP protocols and register the subscriber withthe SIP registrar server. The applications 906 can also include a client942 that provides at least the capability of discovery, play and storeof multimedia content, for example, music.

The handset 900, as indicated above related to the communicationscomponent 910, includes an indoor network radio transceiver 913 (e.g.,Wi-Fi transceiver). This function supports the indoor radio link, suchas IEEE 802.11, for the dual-mode GSM handset 900. The handset 900 canaccommodate at least satellite radio services through a handset that cancombine wireless voice and digital radio chipsets into a single handhelddevice.

In order to provide additional context for various embodiments describedherein, FIG. 10 and the following discussion are intended to provide abrief, general description of a suitable computing environment 1000 inwhich the various embodiments of the embodiment described herein can beimplemented. While the embodiments have been described above in thegeneral context of computer-executable instructions that can run on oneor more computers, those skilled in the art will recognize that theembodiments can be also implemented in combination with other programmodules and/or as a combination of hardware and software.

Generally, program modules include routines, programs, components, datastructures, etc., that perform particular tasks or implement particularabstract data types. Moreover, those skilled in the art will appreciatethat the disclosed methods can be practiced with other computer systemconfigurations, including single-processor or multiprocessor computersystems, minicomputers, mainframe computers, Internet of Things (IoT)devices, distributed computing systems, as well as personal computers,hand-held computing devices, microprocessor-based or programmableconsumer electronics, and the like, each of which can be operativelycoupled to one or more associated devices.

The illustrated embodiments of the embodiments herein can be alsopracticed in distributed computing environments where certain tasks areperformed by remote processing devices that are linked through acommunications network. In a distributed computing environment, programmodules can be located in both local and remote memory storage devices.

Computing devices typically include a variety of media, which caninclude computer-readable storage media, machine-readable storage media,and/or communications media, which two terms are used herein differentlyfrom one another as follows. Computer-readable storage media ormachine-readable storage media can be any available storage media thatcan be accessed by the computer and includes both volatile andnonvolatile media, removable and non-removable media. By way of example,and not limitation, computer-readable storage media or machine-readablestorage media can be implemented in connection with any method ortechnology for storage of information such as computer-readable ormachine-readable instructions, program modules, structured data orunstructured data.

Computer-readable storage media can include, but are not limited to,random access memory (RAM), read only memory (ROM), electricallyerasable programmable read only memory (EEPROM), flash memory or othermemory technology, compact disk read only memory (CD-ROM), digitalversatile disk (DVD), Blu-ray disc (BD) or other optical disk storage,magnetic cassettes, magnetic tape, magnetic disk storage or othermagnetic storage devices, solid state drives or other solid statestorage devices, or other tangible and/or non-transitory media which canbe used to store desired information. In this regard, the terms“tangible” or “non-transitory” herein as applied to storage, memory orcomputer-readable media, are to be understood to exclude onlypropagating transitory signals per se as modifiers and do not relinquishrights to all standard storage, memory or computer-readable media thatare not only propagating transitory signals per se.

Computer-readable storage media can be accessed by one or more local orremote computing devices, e.g., via access requests, queries or otherdata retrieval protocols, for a variety of operations with respect tothe information stored by the medium.

Communications media typically embody computer-readable instructions,data structures, program modules or other structured or unstructureddata in a data signal such as a modulated data signal, e.g., a carrierwave or other transport mechanism, and includes any information deliveryor transport media. The term “modulated data signal” or signals refersto a signal that has one or more of its characteristics set or changedin such a manner as to encode information in one or more signals. By wayof example, and not limitation, communication media include wired media,such as a wired network or direct-wired connection, and wireless mediasuch as acoustic, RF, infrared and other wireless media.

With reference again to FIG. 10 , the example environment 1000 forimplementing various embodiments of the aspects described hereinincludes a computer 1002, the computer 1002 including a processing unit1004, a system memory 1006 and a system bus 1008. The system bus 1008couples system components including, but not limited to, the systemmemory 1006 to the processing unit 1004. The processing unit 1004 can beany of various commercially available processors. Dual microprocessorsand other multi-processor architectures can also be employed as theprocessing unit 1004.

The system bus 1008 can be any of several types of bus structure thatcan further interconnect to a memory bus (with or without a memorycontroller), a peripheral bus, and a local bus using any of a variety ofcommercially available bus architectures. The system memory 1006includes ROM 1010 and RAM 1012. A basic input/output system (BIOS) canbe stored in a non-volatile memory such as ROM, erasable programmableread only memory (EPROM), EEPROM, which BIOS contains the basic routinesthat help to transfer information between elements within the computer1002, such as during startup. The RAM 1012 can also include a high-speedRAM such as static RAM for caching data.

The computer 1002 further includes an internal hard disk drive (HDD)1014 (e.g., EIDE, SATA), one or more external storage devices 1016(e.g., a magnetic floppy disk drive (FDD) 1016, a memory stick or flashdrive reader, a memory card reader, etc.) and an optical disk drive 1020(e.g., which can read or write from a CD-ROM disc, a DVD, a BD, etc.).While the internal HDD 1014 is illustrated as located within thecomputer 1002, the internal HDD 1014 can also be configured for externaluse in a suitable chassis (not shown). Additionally, while not shown inenvironment 1000, a solid state drive (SSD) could be used in additionto, or in place of, an HDD 1014. The HDD 1014, external storagedevice(s) 1016 and optical disk drive 1020 can be connected to thesystem bus 1008 by an HDD interface 1024, an external storage interface1026 and an optical drive interface 1028, respectively. The interface1024 for external drive implementations can include at least one or bothof Universal Serial Bus (USB) and Institute of Electrical andElectronics Engineers (IEEE) 1394 interface technologies. Other externaldrive connection technologies are within contemplation of theembodiments described herein.

The drives and their associated computer-readable storage media providenonvolatile storage of data, data structures, computer-executableinstructions, and so forth. For the computer 1002, the drives andstorage media accommodate the storage of any data in a suitable digitalformat. Although the description of computer-readable storage mediaabove refers to respective types of storage devices, it should beappreciated by those skilled in the art that other types of storagemedia which are readable by a computer, whether presently existing ordeveloped in the future, could also be used in the example operatingenvironment, and further, that any such storage media can containcomputer-executable instructions for performing the methods describedherein.

A number of program modules can be stored in the drives and RAM 1012,including an operating system 1030, one or more application programs1032, other program modules 1034 and program data 1036. All or portionsof the operating system, applications, modules, and/or data can also becached in the RAM 1012. The systems and methods described herein can beimplemented utilizing various commercially available operating systemsor combinations of operating systems.

Computer 1002 can optionally comprise emulation technologies. Forexample, a hypervisor (not shown) or other intermediary can emulate ahardware environment for operating system 1030, and the emulatedhardware can optionally be different from the hardware illustrated inFIG. 10 . In such an embodiment, operating system 1030 can comprise onevirtual machine (VM) of multiple VMs hosted at computer 1002.Furthermore, operating system 1030 can provide runtime environments,such as the Java runtime environment or the .NET framework, forapplications 1032. Runtime environments are consistent executionenvironments that allow applications 1032 to run on any operating systemthat includes the runtime environment. Similarly, operating system 1030can support containers, and applications 1032 can be in the form ofcontainers, which are lightweight, standalone, executable packages ofsoftware that include, e.g., code, runtime, system tools, systemlibraries and settings for an application.

Further, computer 1002 can be enable with a security module, such as atrusted processing module (TPM). For instance with a TPM, bootcomponents hash next in time boot components, and wait for a match ofresults to secured values, before loading a next boot component. Thisprocess can take place at any layer in the code execution stack ofcomputer 1002, e.g., applied at the application execution level or atthe operating system (OS) kernel level, thereby enabling security at anylevel of code execution.

A user can enter commands and information into the computer 1002 throughone or more wired/wireless input devices, e.g., a keyboard 1038, a touchscreen 1040, and a pointing device, such as a mouse 1042. Other inputdevices (not shown) can include a microphone, an infrared (IR) remotecontrol, a radio frequency (RF) remote control, or other remote control,a joystick, a virtual reality controller and/or virtual reality headset,a game pad, a stylus pen, an image input device, e.g., camera(s), agesture sensor input device, a vision movement sensor input device, anemotion or facial detection device, a biometric input device, e.g.,fingerprint or iris scanner, or the like. These and other input devicesare often connected to the processing unit 1004 through an input deviceinterface 1044 that can be coupled to the system bus 1008, but can beconnected by other interfaces, such as a parallel port, an IEEE 1394serial port, a game port, a USB port, an IR interface, a BLUETOOTH®interface, etc.

A monitor 1046 or other type of display device can be also connected tothe system bus 1008 via an interface, such as a video adapter 1048. Inaddition to the monitor 1046, a computer typically includes otherperipheral output devices (not shown), such as speakers, printers, etc.

The computer 1002 can operate in a networked environment using logicalconnections via wired and/or wireless communications to one or moreremote computers, such as a remote computer(s) 1050. The remotecomputer(s) 1050 can be a workstation, a server computer, a router, apersonal computer, portable computer, microprocessor-based entertainmentappliance, a peer device or other common network node, and typicallyincludes many or all of the elements described relative to the computer1002, although, for purposes of brevity, only a memory/storage device1052 is illustrated. The logical connections depicted includewired/wireless connectivity to a local area network (LAN) 1054 and/orlarger networks, e.g., a wide area network (WAN) 1056. Such LAN and WANnetworking environments are commonplace in offices and companies, andfacilitate enterprise-wide computer networks, such as intranets, all ofwhich can connect to a global communications network, e.g., theInternet.

When used in a LAN networking environment, the computer 1002 can beconnected to the local network 1054 through a wired and/or wirelesscommunication network interface or adapter 1058. The adapter 1058 canfacilitate wired or wireless communication to the LAN 1054, which canalso include a wireless access point (AP) disposed thereon forcommunicating with the adapter 1058 in a wireless mode.

When used in a WAN networking environment, the computer 1002 can includea modem 1060 or can be connected to a communications server on the WAN1056 via other means for establishing communications over the WAN 1056,such as by way of the Internet. The modem 1060, which can be internal orexternal and a wired or wireless device, can be connected to the systembus 1008 via the input device interface 1044. In a networkedenvironment, program modules depicted relative to the computer 1002 orportions thereof, can be stored in the remote memory/storage device1052. It will be appreciated that the network connections shown areexample and other means of establishing a communications link betweenthe computers can be used.

When used in either a LAN or WAN networking environment, the computer1002 can access cloud storage systems or other network-based storagesystems in addition to, or in place of, external storage devices 1016 asdescribed above. Generally, a connection between the computer 1002 and acloud storage system can be established over a LAN 1054 or WAN 1056e.g., by the adapter 1058 or modem 1060, respectively. Upon connectingthe computer 1002 to an associated cloud storage system, the externalstorage interface 1026 can, with the aid of the adapter 1058 and/ormodem 1060, manage storage provided by the cloud storage system as itwould other types of external storage. For instance, the externalstorage interface 1026 can be configured to provide access to cloudstorage sources as if those sources were physically connected to thecomputer 1002.

The computer 1002 can be operable to communicate with any wirelessdevices or entities operatively disposed in wireless communication,e.g., a printer, scanner, desktop and/or portable computer, portabledata assistant, communications satellite, any piece of equipment orlocation associated with a wirelessly detectable tag (e.g., a kiosk,news stand, store shelf, etc.), and telephone. This can include WirelessFidelity (Wi-Fi) and BLUETOOTH® wireless technologies. Thus, thecommunication can be a predefined structure as with a conventionalnetwork or simply an ad hoc communication between at least two devices.

The computer is operable to communicate with any wireless devices orentities operatively disposed in wireless communication, e.g., aprinter, scanner, desktop and/or portable computer, portable dataassistant, communications satellite, any piece of equipment or locationassociated with a wirelessly detectable tag (e.g., a kiosk, news stand,restroom), and telephone. This includes at least Wi-Fi and Bluetooth™wireless technologies. Thus, the communication can be a predefinedstructure as with a conventional network or simply an ad hoccommunication between at least two devices.

Wi-Fi, or Wireless Fidelity, allows connection to the Internet from acouch at home, a bed in a hotel room, or a conference room at work,without wires. Wi-Fi is a wireless technology similar to that used in acell phone that enables such devices, e.g., computers, to send andreceive data indoors and out; anywhere within the range of a basestation. Wi-Fi networks use radio technologies called IEEE 802.11 (a, b,g, etc.) to provide secure, reliable, fast wireless connectivity. AWi-Fi network can be used to connect computers to each other, to theInternet, and to wired networks (which use IEEE 802.3 or Ethernet).Wi-Fi networks operate in the unlicensed 2.4 and 5 GHz radio bands, atan 11 Mbps (802.11a) or 54 Mbps (802.11b) data rate, for example, orwith products that contain both bands (dual band), so the networks canprovide real-world performance similar to the basic 10BaseT wiredEthernet networks used in many offices.

The above description of illustrated embodiments of the subjectdisclosure, including what is described in the Abstract, is not intendedto be exhaustive or to limit the disclosed embodiments to the preciseforms disclosed. While specific embodiments and examples are describedherein for illustrative purposes, various modifications are possiblethat are considered within the scope of such embodiments and examples,as those skilled in the relevant art can recognize.

In this regard, while the subject matter has been described herein inconnection with various embodiments and corresponding FIGs, whereapplicable, it is to be understood that other similar embodiments can beused or modifications and additions can be made to the describedembodiments for performing the same, similar, alternative, or substitutefunction of the disclosed subject matter without deviating therefrom.Therefore, the disclosed subject matter should not be limited to anysingle embodiment described herein, but rather should be construed inbreadth and scope in accordance with the appended claims below.

What is claimed is:
 1. A method, comprising: training, by a serverdevice comprising a processor, based on explicit training data andimplicit training data, a neural network to determine monetary valuesand sentimental values of objects; receiving, by the server device, afirst signal via a network, the first signal associated with objectidentification data representative of an identification of an object;receiving, by the server device, a second signal via the network, thesecond signal associated with owner identification data representativeof an owner of the object; receiving, by the server device, a thirdsignal via the network, the third signal associated with acquisitiondata representative of an acquisition of the object by the owner of theobject; generating, by the server device, using the neural network,monetary value data representative of a monetary value associated withthe object based on the acquisition data and the object identificationdata; receiving, by the server device, a fourth signal via the network,the fourth signal associated with light sensor data representative of anamount of light to which the object has been determined to have beenexposed over a period of time; generating, by the server device, usingthe neural network, sentimental value data representative of asentimental value associated with the object based on the amount oflight, wherein the sentimental value increases as the amount of lightincreases; and sending, by the server device via the network, a fifthsignal that causes value data comprising the monetary value data and thesentimental value data to be stored in a programmable identification tagdevice of the object.
 2. The method of claim 1, wherein the acquisitiondata comprises a purchase price.
 3. The method of claim 2, wherein theprogrammable identification tag device is a radio frequencyidentification tag device.
 4. The method of claim 1, further comprising:in response to receiving the owner identification data, obtaining, bythe server device, location data representative of a location,associated with the owner of the object, that is presumed to be thelocation of the object.
 5. The method of claim 4, further comprising: inresponse to obtaining the location data, assigning, by the serverdevice, the location data to the object.
 6. The method of claim 1,wherein the acquisition data comprises a purchase date.
 7. The method ofclaim 6, wherein the monetary value is a first monetary value, andfurther comprising: based on the acquisition data, generating, by theserver device, appreciation data representative of an appreciation ofthe object, resulting in a second monetary value that is greater thanthe first monetary value.
 8. A system, comprising: a processor; and amemory that stores executable instructions that, when executed by theprocessor, facilitate performance of operations, comprising: training,based on explicit training data and implicit training data, a machinelearning model to determine monetary values and sentimental values ofobjects; receiving object identification data representative of anidentification of an object, owner identification data representative ofan owner of the object, and purchase data representative of a purchaseof the object by the owner of the object; based on the purchase data andthe object identification data, generating, using the machine learningmodel, monetary value data representative of a monetary value to beassigned to the object; receiving light sensor data representative of anamount of light the object to which has been determined to have beenexposed over a period of time; generating, using the machine learningmodel, sentimental value data representative of a sentimental valueassociated with the object based on the amount of light to which theobject has been determined to have been exposed over the period of time,wherein the sentimental value increases proportionally with the amountof light; and sending the monetary value data and the sentimental valuedata to a network device associated with the object.
 9. The system ofclaim 8, wherein the purchase data comprises date data representative ofa data of purchase of the object.
 10. The system of claim 9, wherein themonetary value is a first monetary value, and wherein the operationsfurther comprise: based on the date data, generating depreciation datarepresentative of a depreciation of the object, resulting in a secondmonetary value that is less than the first monetary value.
 11. Thesystem of claim 8, wherein the monetary value data is first monetaryvalue data, wherein the monetary value is a first monetary value,wherein the object is a first object, and wherein the operations furthercomprise: receiving second monetary value data representative of asecond monetary value associated with a second object that is similar tothe first object.
 12. The system of claim 11, wherein the operationsfurther comprise: in response to receiving the second monetary valuedata, assigning the second monetary value to the first object.
 13. Thesystem of claim 8, wherein the operations further comprise: in responseto receiving the owner identification data, tracking the owneridentification data via a blockchain methodology.
 14. The system ofclaim 8, wherein the operations further comprise: in response toreceiving the object identification data, archiving the objectidentification data via a blockchain technology.
 15. A non-transitorymachine-readable medium, comprising executable instructions that, whenexecuted by a processor, facilitate performance of operations,comprising: training, using explicit training data and implicit trainingdata as input, an artificial intelligence model to determine monetaryvalues and sentimental values of objects; receiving objectidentification data representative of an identification of an object;receiving owner identification data representative of an owner of theobject; receiving purchase data representative of a purchase history ofthe object; based on the purchase data and the object identificationdata, generating using the artificial intelligence model, monetary valuedata representative of a monetary value to be assigned to the object;receiving light sensor data representative of an amount of light towhich the object has been determined to have been exposed over aduration of time; generating, using the artificial intelligence model,sentimental value data representative of a sentimental value associatedwith the object based on the amount of light, wherein the sentimentalvalue increases as a function of the amount of light increasing; andsending the monetary value data and the sentimental value data to anetwork device associated with the object.
 16. The non-transitorymachine-readable medium of claim 15, wherein the purchase data comprisesa purchase price.
 17. The non-transitory machine-readable medium ofclaim 16, wherein the operations further comprise: sending, via anetwork, a signal that causes the monetary value data and thesentimental value data to be stored in a programmable identification tagdevice of the object.
 18. The non-transitory machine-readable medium ofclaim 17, wherein the programmable identification tag device is a radiofrequency identification tag device.
 19. The non-transitorymachine-readable medium of claim 15, wherein the owner identificationdata is first owner identification data, wherein the owner is a firstowner, and wherein the purchase history comprises second owneridentification data representative of a second owner that previouslyowned the object.
 20. The non-transitory machine-readable medium ofclaim 19, wherein the sentimental value data is first sentimental valuedata, the sentimental value is a first sentimental value, and theoperations further comprise: in response to a purchase of the object bythe first owner, deleting second sentimental value data representativeof a second sentimental value assigned to the object by the secondowner.